Constraint Satisfaction
Also called: Constraint Solving
The process of selecting actions or solutions that satisfy a defined set of rules, limitations, requirements, or operational constraints.
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Related terms
A strategy or set of rules that determines how an AI agent selects actions or makes decisions based on goals, inputs, constraints, and current state.
Action SelectionThe process of choosing the most appropriate action from available options based on goals, policies, context, constraints, or expected outcomes.
Risk-aware DecisionA choice made by evaluating potential outcomes alongside their associated uncertainties, hazards, and probabilities.
Utility FunctionA mathematical function that assigns a numerical value to outcomes to represent preferences and guide optimal decision-making.
Goal PlanningThe process by which an AI system identifies, prioritizes, and organizes objectives into an actionable plan, determining the sequence of tasks and strategies required to achieve one or more specified goals.